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A Shot Boundary Detection Method for News Video based Human Skin Region (Face) Detection

by Puni Kumar M B, P S Puttaswamy
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 79 - Number 4
Year of Publication: 2013
Authors: Puni Kumar M B, P S Puttaswamy
10.5120/13726-1522

Puni Kumar M B, P S Puttaswamy . A Shot Boundary Detection Method for News Video based Human Skin Region (Face) Detection. International Journal of Computer Applications. 79, 4 ( October 2013), 1-3. DOI=10.5120/13726-1522

@article{ 10.5120/13726-1522,
author = { Puni Kumar M B, P S Puttaswamy },
title = { A Shot Boundary Detection Method for News Video based Human Skin Region (Face) Detection },
journal = { International Journal of Computer Applications },
issue_date = { October 2013 },
volume = { 79 },
number = { 4 },
month = { October },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-3 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume79/number4/13726-1522/ },
doi = { 10.5120/13726-1522 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:52:07.260396+05:30
%A Puni Kumar M B
%A P S Puttaswamy
%T A Shot Boundary Detection Method for News Video based Human Skin Region (Face) Detection
%J International Journal of Computer Applications
%@ 0975-8887
%V 79
%N 4
%P 1-3
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A New simple approach to detect, classify shot boundaries and store shot boundary frames in Video sequence using human skin region detection based approach is proposed. Human skin region detection is the process of detecting skin region in sequence of frames. Skin region detection is mainly used for the identification of the human face detection. This approach is very much suitable for finding shots in TV News so that we can classify anchor and non anchor frames to save the overall time which is required to watch overall news,

References
  1. A. Hanjalic, "Shot-boundary detection: Unraveled and resolved?" IEEE Transactions on Circuits and Systems for Video Technology, February 2002 vol. 12, pp. 90–105.
  2. C. Cotsaces, N. Nikolaidis and L. Pitas,"Video Shot Detection and Condensed Representation: A Review", Signal Processing Magazine, Mar 2006, vol. 23, pp. 23–37.
  3. Y. Qi, A. Hauptmann, T. Liu, "Supervised Classification for Video Shot Segmentation", IEEE International Conference on Multimedia and Expo (ICME), 2003, vol. 2, pp. 689–692.
  4. B. Gunsel, A. Ferman, A. M. Tekalp,"Temporal video segmentation using unsupervised clustering and semantic object tracking", Journal of Electronic Imaging 1998, pp. 592–604.
  5. T. Butz, J-P. Thiran, "Shot Boundary Derection with Mutual Information", International Conference on Image Processing (ISIP) 2001, vol. 3, pp. 422–425.
  6. . "Shot Classification in Broadcast Soccer Video" by Xiaofeng Tong, Qingshan Liu, Hanqing Lu Electronic Letters on Computer Vision and Image Analysis 7(1):16-25, 2008.
Index Terms

Computer Science
Information Sciences

Keywords

Shot Detection Boundary Frame Skin region Histogram.

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